IAS and YouTube Brand Safety and Suitability Solution Now Available for Advertisers
New IAS Offering Helps Reduce Brand Safety Risk in the Digital Ecosystem.
December 5, 2018 – New York, NY – Last year, Integral Ad Science (IAS) and YouTube partnered to launch a beta test addressing the need for third-party brand safety and suitability measurement on the platform. Today the Brand Safety and Suitability solution moves out of beta, allowing IAS clients to use the technology to verify that ad placements on YouTube appear on content that aligns with their brand safety and suitability objectives.
The IAS solution incorporates a combination of machine learning and human review to constantly re-calibrate models, rather than solely relying on a static algorithm. Using this technique allows IAS to inform advertisers and YouTube of flagged content quickly.
“Universal McCann and our clients have been active participants with IAS in the YouTube brand safety beta. We’re excited that third-party brand safety verification will now be available to provide an additional layer of verification on YouTube for all advertisers,” said Joshua Lowcock, global brand safety officer and EVP/US chief digital and innovation officer, UM.
An extensive beta program that began last December, the Brand Safety and Suitability solution monitored campaigns across seven countries for over 50 advertisers. Prominent global brands including Verizon, Bayer Health, and Diageo were able to use IAS reporting to effectively adjust their brand safety requirements and ultimately see better outcomes on their YouTube ad placements.
“Brand safety can’t be solved alone, it is going to take all the stakeholders in our industry, working together, to find a solution,” said Harmon Lyons, SVP of Global Business Development, IAS. “We saw such great success with this beta because YouTube, IAS, and prominent brands were all willing to listen to each other, work together, and create a solution that advertisers can trust to verify their investment on the YouTube platform.”
The machine learning model will continue to grow even now that the beta has closed. As more feedback is collected, the algorithm will analyze new content and the models will learn to identify videos deemed unsuitable so that brands can make real-time decisions around their campaigns.
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About IAS
Integral Ad Science (IAS) is a global technology company that offers data and solutions to establish a safer, more effective advertising ecosystem. We partner with advertisers and publishers to protect their investments, capture consumer attention, and drive business impact. Founded in 2009, IAS is headquartered in New York with global operations in 13 countries. Our growth and innovation have been recognized in the Inc. 5000, Crain’s Fast 50, Forbes America’s Most Promising Companies, and I-COM’s Smart Data Marketing Technology Company. Learn more at www.integralads.com.